1-Acasia @ Panorama Lapangan Akasia

Perak, Kinta, Ulu Kinta

Property Transactions

8 subsales grouped by size · Cluster →

Period
transactions middle 50% (P25–P75)
2,650 sqft
Cluster
RM755,000
Jalan Lapangan Akasia 2
2,626 sqft · RM287 PSF
RM600,000
Jalan Lapangan Akasia 2
2,626 sqft · RM228 PSF
RM680,000
Jalan Lapangan Akasia 1
2,626 sqft · RM259 PSF
RM690,000
Jalan Lapangan Akasia 1
2,626 sqft · RM263 PSF
RM850,000
Persiaran Lapangan Perdana 5
3,165 sqft · RM269 PSF
RM570,000
Jalan Lapangan Akasia 5
3,165 sqft · RM180 PSF
RM720,000
Persiaran Lapangan Perdana 5
3,165 sqft · RM228 PSF
5,600 sqft
Cluster
RM775,000
Jalan Lapangan Akasia 2
5,608 sqft · RM138 PSF
Legend Recent Highest Price Highest PSF

Selling in 1-Acasia @ Panorama Lapangan Akasia? Homes here sold for a median of RM705,000.

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Posts about 1-Acasia @ Panorama Lapangan Akasia

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1-Acasia @ Panorama Lapangan Akasia in Kinta, Perak recorded 8 subsale transactions between 2021 and 2026, with a median price of RM705K and a median price per square foot (PSF) of RM259.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM705K, with most transactions falling within a stable range of RM645K to RM765K, and a typical market range of RM655K to RM755K.

Most transactions involved cluster house, though some variety exists in the market.

For price per square foot, the median is RM259, with most transactions between RM236 and RM281. The usual range is RM234.66 to RM283.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.50 and an average deviation (MAD) of RM23 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.